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US8457414B2

Detection of textural defects using a one class support vector machine

University of Texas System

Abstract

Method for detecting textural defects in an image. The image, which may have an irregular visual texture, may be received. The image may be decomposed into a plurality of subbands. The image may be portioned into a plurality of partitions. A plurality of grey-level co-occurrence matrices (GLCMs) …

University
University of Texas System
Assignee
Board Of Regents Of The University Of Texas System
Inventor
Sina Jahanbin
Priority date
August 03, 2009
Filing date
December 07, 2009
Grant date
June 04, 2013
Publication date
June 04, 2013
Language
en
Metadata fetched
August 29, 2026 00:20